Evidence map›Paper›PMID 28444213›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Representation of occupational information across resources and validation of the occupational data for health model.

Sripriya Rajamani, Elizabeth S Chen, Elizabeth Lindemann, Ranyah Aldekhyyel, Yan Wang, Genevieve B Melton

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sripriya RajamaniPublic Health Informatics Program, University of Minnesota, Minneapolis, MN, USA.
Elizabeth S ChenCenter for Biomedical Informatics, Brown University, Providence, RI, USA.
Elizabeth LindemannDepartment of Surgery, University of Minnesota.
Ranyah AldekhyyelInstitute for Health Informatics, University of Minnesota.
Yan WangInstitute for Health Informatics, University of Minnesota.
Genevieve B MeltonInstitute for Health Informatics, University of Minnesota.

Funding

Leveraging the EHR to Collect and Analyze Social, Behavioral & Familial FactorsR01LM011364 · NLM · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI CHEN, ELIZABETH S., MELTON-MEAUX, GENEVIEVE B · 2012 to 2015
$1.4M
NLM NIH HHS R01 LM011364
6 · The paper itself

Abstract

Reports by the National Academy of Medicine and leading public health organizations advocate including occupational information as part of an individual's social context. Given recent National Academy of Medicine recommendations on occupation-related data in the electronic health record, there is a critical need for improved representation. The National Institute for Occupational Safety and Health has developed an Occupational Data for Health (ODH) model, currently in draft format. This study aimed to validate the ODH model by mapping occupation-related elements from resources representing recommendations, standards, public health reports and surveys, and research measures, along with preliminary evaluation of associated value sets. All 247 occupation-related items across 20 resources mapped to the ODH model. Recommended value sets had high variability across the evaluated resources. This study demonstrates the ODH model's value, the multifaceted nature of occupation information, and the critical need for occupation value sets to support clinical care, population health, and research.

Indexed as

Electronic Health RecordsNational Institute for Occupational Safety and Health, U.S.HumansOccupational DiseasesOccupational HealthOccupational InjuriesOccupationsUnited StatesemploymentNIOSHoccupationoccupational data for health modelstandards

Identifiers

PMID28444213
PMCPMC6080809

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.